中級賽道 ·免費
人工智慧政策與社會
透過權利、公平、治理、安全和公共利益結果來分析人工智慧系統。
4模組
9指南
~6h完成
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結果
你能做什麼
- Identify affected stakeholders and unequal impacts.
- Compare governance tools and their enforcement limits.
- Write evidence-grounded public-interest analysis.
推薦先看: 人工智慧基礎
課程
課程模組
Ethics and impact
結果: Distinguish values, harms, tradeoffs, and measurable outcomes.
練習: Create a stakeholder and impact map for one AI deployment.
偏見和公平Public-interest impact analysisPrivacy, security, and safety
結果: Separate privacy, misuse, accident, and security risks.
練習: Build a threat-and-harm register with owners and mitigations.
隱私和資料處理AI 安全與濫用風險自動化邊界與保障措施Law and governance
結果: Compare regulation, standards, audits, procurement, and internal controls.
練習: Compare two governance approaches against the same public problem.
AI policy and regulationGovernance and accountabilityPublic communication
結果: Explain evidence and uncertainty without hype or false balance.
練習: Write a 300-word public briefing with sources, limits, and a decision point.
Stakeholder communication來源與主張驗證Uncertainty and confidence calibration
應用頂點
Public-interest AI briefing
Publish a sourced briefing on one current AI policy or social-impact question.
- Stakeholder map
- Primary evidence
- Policy options
- Uncertainty and recommendation